2 months ago
Rio de Janeiro, BrazilSenior
Base Salary
$30k - $50k/yr
Responsibilities
- Own the infrastructure and runtime environment for Commure’s fleet of OpenClaw agents.
- Build, configure, deploy, and troubleshoot agents running across Linux-based virtual machines.
- Develop Python services, automation, operational tooling, and agent integrations.
- Design and operate agent harnesses supporting tool use, memory, context management, permissions, scheduling, retries, and human escalation.
- Create a standardized platform for engineers to develop, test, deploy, and update agents safely.
- Deploy and operate workloads across Linux virtual machines, Kubernetes, and Google Cloud or AWS infrastructure.
- Use Bash and Linux tooling to investigate system behavior, automate environment management, and resolve production issues.
- Build systems for agent scheduling, background execution, queues, concurrency management, and long-running tasks.
- Develop integrations with internal services, databases, APIs, communication platforms, and operational tools.
- Establish secure handling of secrets, credentials, identity, permissions, and access control for autonomous agents.
- Build evaluation frameworks measuring agent reliability, task completion, tool accuracy, latency, and cost.
- Implement observability for agent traces, prompts, tool calls, infrastructure, failures, and resource consumption.
- Create dashboards and alerting and establish incident-response processes for agent and platform health.
- Diagnose failures across application code, model behavior, third-party tools, networks, containers, virtual machines, and cloud infrastructure.
- Improve platform efficiency, resilience, reliability, security, and maintainability as usage grows.
- Partner with product engineers and internal teams to turn agent prototypes into dependable production systems.
- Establish best practices for developing and operating autonomous agents across Commure.
Requirements
- Professional experience building and operating production software, infrastructure, or internal platforms.
- Strong proficiency in Python and strong familiarity with Linux environments, virtual machines, Bash, and command-line operations.
- Experience managing software across virtual-machine fleets, including deployment, monitoring, access management, configuration, and failure recovery.
- Strong hands-on experience operating production systems on Google Cloud Platform or Amazon Web Services, including compute, networking, storage, identity and access management, and observability.
- Hands-on experience with Kubernetes, Docker, and containerized production workloads.
- Experience building infrastructure, deployment systems, internal developer platforms, or distributed application runtimes.
- Experience with infrastructure as code, configuration management, secrets management, and automated deployments.
- Hands-on experience building with large language models, autonomous agents, or agent harnesses.
- Understanding of tool calling, memory, context management, planning, retries, evaluations, permissions, and human-in-the-loop execution.
- Experience monitoring and debugging distributed systems using logs, metrics, traces, dashboards, and alerts.
- Strong understanding of production reliability, including failure recovery, idempotency, rate limiting, concurrency management, and incident response.
- Ability to balance experimentation with production security and reliability requirements.
- OpenClaw or another open-source agent framework experience, autonomous-agent fleet operations, multi-tenant platform experience, or agent evaluation experience is preferred.
- Experience with browser agents, computer-use agents, model gateways, inference providers, prompt versioning, token accounting, LLM cost optimization, or sensitive-data workloads is preferred.
- Familiarity with Swift and experience supporting native Apple client applications, or experience in healthcare, revenue cycle management, or another regulated industry, is preferred.
Tech Stack
Categories
About Commure
Commure builds an AI-native healthcare platform for providers and health systems, spanning ambient clinical documentation, provider copilots, coding, and revenue cycle automation, integrated with 60+ EHRs. It sells enterprise software and services to hospitals and care organizations to streamline clinical and administrative workflows. The privately held company is headquartered in Mountain View, California, and reports adoption by 500,000+ clinicians across 500+ organizations, with billions in claims processed annually.